Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data

A Deep Learning Framework for Automatic Diagnosis in Lung Cancer

Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images

A new high-throughput auto-annotation method to detect and outline cancer areas in prostate biopsies

Determining the scale of image patches using a Deep Learning Approach

Tumor proliferation grading from whole slide images

Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score

Predictive uncertainty estimation for out-of-distribution detection in digital pathology

Clinical-grade Computational Pathology: Alea Iacta Est

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge